Search research articles
Contact Us
Filters
Showing results (21-30 of 141) with videos related to
Page
of 15
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 22, 2013
Learning with hierarchical-deep models
Ruslan Salakhutdinov, Joshua B Tenenbaum, Antonio Torralba
Trends in Cognitive Sciences
|
June 30, 2006
Probabilistic models of cognition: conceptual foundations
Nick Chater, Joshua B Tenenbaum, Alan Yuille
Journal of Child Language
|
April 7, 2010
Variability, negative evidence, and the acquisition of verb argument constructions
Amy Perfors, Joshua B Tenenbaum, Elizabeth Wonnacott
Proceedings of the National Academy of Sciences of the United States of America
|
August 4, 2025
What people learn from punishment: A cognitive model
Setayesh Radkani, Joshua B Tenenbaum, Rebecca Saxe
Trends in Cognitive Sciences
|
June 20, 2006
Probabilistic models of cognition: where next?
Nick Chater, Joshua B Tenenbaum, Alan Yuille
Cognitive Science
|
May 14, 2011
Learning to learn causal models
Charles Kemp, Noah D Goodman, Joshua B Tenenbaum
Trends in Cognitive Sciences
|
June 27, 2006
Theory-based Bayesian models of inductive learning and reasoning
Joshua B Tenenbaum, Thomas L Griffiths, Charles Kemp
Plos One
|
January 10, 2013
Learning and long-term retention of large-scale artificial languages
Michael C Frank, Joshua B Tenenbaum, Edward Gibson
Science (New York, N.Y.)
|
December 15, 2015
Human-level concept learning through probabilistic program induction
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum
Cognition
|
May 7, 2018
A critical period for second language acquisition: Evidence from 2/3 million English speakers
Joshua K Hartshorne, Joshua B Tenenbaum, Steven Pinker
Page
of 15
Search research articles
Search
Showing results (21-30 of 141) with videos related to
Sort By:
Page
of 15
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
June 22, 2013
Learning with hierarchical-deep models
Ruslan Salakhutdinov, Joshua B Tenenbaum, Antonio Torralba
Trends in Cognitive Sciences
|
June 30, 2006
Probabilistic models of cognition: conceptual foundations
Nick Chater, Joshua B Tenenbaum, Alan Yuille
Journal of Child Language
|
April 7, 2010
Variability, negative evidence, and the acquisition of verb argument constructions
Amy Perfors, Joshua B Tenenbaum, Elizabeth Wonnacott
Proceedings of the National Academy of Sciences of the United States of America
|
August 4, 2025
What people learn from punishment: A cognitive model
Setayesh Radkani, Joshua B Tenenbaum, Rebecca Saxe
Trends in Cognitive Sciences
|
June 20, 2006
Probabilistic models of cognition: where next?
Nick Chater, Joshua B Tenenbaum, Alan Yuille
Cognitive Science
|
May 14, 2011
Learning to learn causal models
Charles Kemp, Noah D Goodman, Joshua B Tenenbaum
Trends in Cognitive Sciences
|
June 27, 2006
Theory-based Bayesian models of inductive learning and reasoning
Joshua B Tenenbaum, Thomas L Griffiths, Charles Kemp
Plos One
|
January 10, 2013
Learning and long-term retention of large-scale artificial languages
Michael C Frank, Joshua B Tenenbaum, Edward Gibson
Science (New York, N.Y.)
|
December 15, 2015
Human-level concept learning through probabilistic program induction
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum
Cognition
|
May 7, 2018
A critical period for second language acquisition: Evidence from 2/3 million English speakers
Joshua K Hartshorne, Joshua B Tenenbaum, Steven Pinker
Page
of 15